Unbiased estimation of sampling variance for Simpson's diversity index / Andreas Tiffeau-Mayer    

Public ISBD Faire une suggestion d'achat Titre : Unbiased estimation of sampling variance for Simpson's diversity index Type de document : document électronique Auteurs : Andreas Tiffeau-Mayer, Auteur Editeur : arXiv Année de publication : 2023 Importance : 7 pages, 5 figures Format : PDF Langues : Anglais (eng) Catégories : 577 Écologie Tags : 'Populations and Evolution (q-bio.PE)  Statistical Mechanics (cond-mat.stat-mech)  Quantitative Methods (q-bio.QM  Écologie '. Index. décimale : 577 Résumé : Quantification of measurement uncertainty is a cornerstone of scientific inquiry. Yet, for ecological measures of diversity obtaining reliable estimates of this uncertainty is a surprisingly challenging statistical problem. Here, a solution to this problem is presented in the form of an unbiased estimator for the sampling variance of Simpson's diversity index. Numerical tests show that this estimator outperforms currently used methods by large margins in small samples. We illustrate uses of the estimator for quantifying diversity in marine ecology and immunology. En ligne : https://arxiv.org/abs/2310.03439 Format de la ressource électronique : PDF Unbiased estimation of sampling variance for Simpson's diversity index [document électronique] / Andreas Tiffeau-Mayer, Auteur . - arXiv, 2023 . - 7 pages, 5 figures ; PDF. Langues : Anglais (eng) Catégories : 577 Écologie Tags : 'Populations and Evolution (q-bio.PE)  Statistical Mechanics (cond-mat.stat-mech)  Quantitative Methods (q-bio.QM  Écologie '. Index. décimale : 577 Résumé : Quantification of measurement uncertainty is a cornerstone of scientific inquiry. Yet, for ecological measures of diversity obtaining reliable estimates of this uncertainty is a surprisingly challenging statistical problem. Here, a solution to this problem is presented in the form of an unbiased estimator for the sampling variance of Simpson's diversity index. Numerical tests show that this estimator outperforms currently used methods by large margins in small samples. We illustrate uses of the estimator for quantifying diversity in marine ecology and immunology. En ligne : https://arxiv.org/abs/2310.03439 Format de la ressource électronique : PDF

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